UP-Growth Algorithms for Knowledge Discovery from Transactional Databases

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
Data mining is used to process huge number of records in database and discover interesting facts that can help in making well informed decisions. Data mining has been around and all enterprises in the real world need it in order to make well informed decisions. The reason behind this is that analyzing huge data is not possible manually. For mining high utility item sets from databases many techniques came into existence. However, they tend to produce huge number of itemsets thus degrading the performance of the system in terms of space and time.
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